Daniele Tonini

Lecturer
Knowledge groupEconomics, Politics and Decision Sciences
Research domainsBusiness Data Analytics
Teaching domainsPredictive Analytics, Time Series Analysis, Multivariate Models, Big & Small Data, Data Analysis Process
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Daniele Tonini

Biography

Daniele Tonini is Lecturer at SDA Bocconi School of Management and member of the Decision Sciences Department at Università Bocconi. He has also served as contract professor at Università dell'Insubria (since 2013) and Adjunct Professor at Franklin University Switzerland (since 2022). He teaches Statistics, Predictive and Generative AI for Business Decisions, Big Data and Databases, and Market Research and Business Forecasting.

Daniele is an expert advisor e educatior in the field of advanced analytics and of machine learning. During the last 15 years he projected and implemented predictive analysis systems, quality data management and dynamic reporting tools, mainly for customer intelligence, risk management e pricing.

His main competences are design and implementation of complex analytics systems, advanced statistics analysis, machine learning, demand planning, time series forecasting, data modelling and management of data quality, data visualization, dynamic reporting tools, analytics project management and data scientist team management.

Daniele has achieved a degree in Economics from Università Bocconi.

Recent Publications

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  • 2026
    From data to decisions. An introduction to applied statistics.
    TONINI, D., F. TRENTINI, R. PICCARRETA - "From data to decisions. An introduction to applied statistics." - 2026, Egea, Milano, Italy
  • 2025
    Applied Statistical Methods
    TRENTINI, F., D. TONINI, R. PICCARRETA - "Applied Statistical Methods" - 2025, Egea, Milano, Italy
  • 2024
    A Novel Supervised-Unsupervised Approach for Past-Due Prediction
    GABBI, G., D. TONINI, M. RUSSO, "A Novel Supervised-Unsupervised Approach for Past-Due Prediction", Risk Management Magazine Aifirm, 2024, vol. 19, no. 2, pp. 4-21
  • 2022
    Codeless Time Series Analysis with KNIME: A practical guide to implementing forecasting models for time series analysis applications
    WEISINGER, C., M. WIDMANN, D. TONINI - "Codeless Time Series Analysis with KNIME: A practical guide to implementing forecasting models for time series analysis applications" - 2022, Packt Publishing
  • 2020
    Le reti neurali, nascita, diffusione e funzionamento
    TONINI, D., F. TUSCOLANO, "Le reti neurali, nascita, diffusione e funzionamento" in Quando ai manager danno i numeri. Come prendere decisioni nell’era dei Big Data., L. Molteni, E. Borgonovo (Eds.), Egea, chap. 6, pp. 93-112, 2020
  • 2016
    How Italian companies are monitoring innovation
    ARCARI, A., A. PISTONI, E. MORETTO, P. OSSOLA, "How Italian companies are monitoring innovation", Management Control, 2016, no. 2, pp. 143-165

Grants & Honors

  • Teaching Award - Undergraduate School, Università Commerciale Luigi Bocconi, 2019

  • Premio alla didattica - Undergraduate School, Università Commerciale Luigi Bocconi, 2018